The AHLI Conference on Health, Inference, and Learning (CHIL) solicits work across a variety of disciplines, including machine learning, statistics, epidemiology, health policy, operations, and economics. CHIL 2023 invites abstracts for 5 minute lightning talks on the topic “I Can’t Believe It’s Not Better” that highlight machine learning in health failures that still surprise. Specifically, authors are invited to submit 1 page abstracts (with unlimited pages for references). Unconference Chairs will oversee the reviewing process. If you are not sure if your submission fits the call, please reach out to the conference organizers ( for advice.

Important Dates

  • Submissions due: Feb 28, 11:59 EST Mar 15, 2023 11:59 PM EDT
  • Author notification: April 3
  • CHIL unconference: June 24


Works submitted to CHIL will be reviewed by at least 2 reviewers. Reviewers will be asked to primarily judge the work according to the following criteria:

Relevance: All submissions to CHIL are expected to be relevant to health. Concretely, this means that the problem is well-placed into the relevant themes for the conference. Reviewers will be able to recommend that submissions change tracks or flag submissions that are not suitable for the venue as a whole.

Quality: Is the submission technically sound? Are claims well supported by theoretical analysis or experimental results? Are the authors careful and honest about evaluating both the strengths and weaknesses of their work?

Originality: Are the tasks or methods new? Is it clear how this work differs from previous contributions? Is related work adequately cited?

Clarity: Is the submission clearly written? Does it adequately inform the reader?

Significance: Are the results important? Are others (researchers or practitioners) likely to use the ideas or build on them? Does the work highlight a failure that is truly surprising?

Final decisions will be made by Unconference Chairs, taking into account reviewer comments, ratings of confidence and expertise, and our own editorial judgment.

Submission Format and Guidelines

Submission Site

Submissions should be made via the following Google Form: At least one author of each accepted paper is required to register for, attend, and present the work at the conference.

Length and Formatting

Abstracts are allowed a maximum of 1 page using 12 point font, single-spacing, and 1-inch margins. Submissions are allowed unlimited pages for references. The abstract should be submitted as a PDF.

Archival Submissions

Submissions to the Unconference are considered archival and will appear in an arXiv volume if accepted. Author notification of acceptance will be provided towards April 2023.

Peer Review

The review process is mutually anonymous. Please submit completely anonymized drafts. Please do not include any identifying information, and refrain from citing the authors’ own prior work in anything other than third-person. Violations to this policy may result in rejection without review.

Conference organizers and reviewers are required to maintain confidentiality of submitted material. Upon acceptance, the titles, authorship, and abstracts of papers will be released prior to the conference.

Open Access

CHIL is committed to open science and ensuring our proceedings are freely available.

CHIL Sponsors

Thank you to our 2024 sponsors: Gordon and Betty Moore Foundation (Gold), Department of Health Outcomes and Biomedical Informatics at UFlorida College of Medicine (Gold), Apple (Silver), Genentech (Silver), Google (Silver), The Mount Sinai Hospital (Silver), Computational Precision Health Program at UCSF / UC Berkeley (Silver), UF Health (Silver), Chase Center at University of Pennsylvania (Silver), Department of Biostatistics at University of Pennsylvania (Silver), Department of Biostatistics at Columbia University (Bronze), Health Data Science (Bronze), and the Department of Surgery at University of Minnesota (Bronze)!